Some path-following techniques are described and compared with other methods. Use of multipurpose techniques that can be used at more than one stage of the path-following computation results in a system that is relatively simple to understand, program, and use. Comparison of path-following methods with the method of parametric differentiation reveals definite advantages for the path-following methods. The fact that parametric differentiation has found a broader range of applications indicates that path-following methods have been underutilized
Many optimization methods require accurate partial derivative information in order to ensure efficie...
International audienceSome of the theoretical aspects of continuation and bifurcation methods devote...
Automatic differentiation, also called computational differentiation and algorithmic differentiatio...
Prepared at Langley Research Center."December 1986"--Cover.Includes bibliographical references (p. 7...
Algorithm and computer program of diagonal discrimination method for computing nonlinear and transce...
Abstract. Forward and reverse modes of algorithmic differentiation (AD) trans-form implementations o...
Unconstrained minimization algorithms have been critically evaluated for their effectiveness in solv...
AbstractForward mode algorithmic differentiation transforms implementations of multivariate vector f...
Method for numerical solutions of nonlinear optimum trajectory problems using approximate analytic m...
The problem of solving systems of nonlinear equations has been relatively neglected in the mathemati...
A theory for obtaining approximate solutions to nonlinear problems whose exact solutions require the...
AbstractAn algorithm for the solution of nonlinear systems of parabolic partial differential equatio...
AbstractOptimization means the provision of a set of numerical parameter values which will give the ...
Numerical solution for variety of nonlinear degenerate elliptic boundary value problems, and converg...
In the field of engineering, researches often come across strong nonlinear boundary value problems w...
Many optimization methods require accurate partial derivative information in order to ensure efficie...
International audienceSome of the theoretical aspects of continuation and bifurcation methods devote...
Automatic differentiation, also called computational differentiation and algorithmic differentiatio...
Prepared at Langley Research Center."December 1986"--Cover.Includes bibliographical references (p. 7...
Algorithm and computer program of diagonal discrimination method for computing nonlinear and transce...
Abstract. Forward and reverse modes of algorithmic differentiation (AD) trans-form implementations o...
Unconstrained minimization algorithms have been critically evaluated for their effectiveness in solv...
AbstractForward mode algorithmic differentiation transforms implementations of multivariate vector f...
Method for numerical solutions of nonlinear optimum trajectory problems using approximate analytic m...
The problem of solving systems of nonlinear equations has been relatively neglected in the mathemati...
A theory for obtaining approximate solutions to nonlinear problems whose exact solutions require the...
AbstractAn algorithm for the solution of nonlinear systems of parabolic partial differential equatio...
AbstractOptimization means the provision of a set of numerical parameter values which will give the ...
Numerical solution for variety of nonlinear degenerate elliptic boundary value problems, and converg...
In the field of engineering, researches often come across strong nonlinear boundary value problems w...
Many optimization methods require accurate partial derivative information in order to ensure efficie...
International audienceSome of the theoretical aspects of continuation and bifurcation methods devote...
Automatic differentiation, also called computational differentiation and algorithmic differentiatio...